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What are the role of normalisation in dbms?
with this normalisation only we reduce redudency
What are the disadvantages of normalisation?
When we use Normalisation it does not allow some of the modifications of the database. Another disadvantage of Normalisation is that it is only applicable in the Relational Database Management System.
What is the difference between normalisation and denormalisation?
Hi, Normalisation is used to reduce the redundancy of database. So, we divide the the data into smaller tables. These tables are related to each other through a relationship. Denormalisation is the reverse process of normalisation. In this we add redundancy of data and grouping of data to optimize the performance.
What normalisation is used in IEEE 754 format?
none, it uses denormalization.
Why is normalisation necessary?
Normalisation is necessary in database because of following:It eliminates data redundancy. Same data do not occur in more than one places.By making use of normalisation query process is easy.Data entry time is saved as the tables are broken down in repeating and not repeating fields.Data modification is made easy.Database becomes more flexibleInconsistent dependency is eliminated
How is the term normalisation properly defined?
Normalization can refer to the act of making something standard or normal. It can also be used in regard to relational databases. When used in relational databases normalization means to isolate and organize data to avoid repeats and mistakes.
How can you avoid a computer virus?
jst install a anti virus in ur PC and update it evryday
What grade is 114 out of 185?
It is approx 62%. As to the grade, the answer will depend on any normalisation and grade boundaries.
Why it is important to maintain and update the information system and the methods you can use?
It is important to maintain and update the information system so as to avoid technical failures of the system. The best way to do this is by using utility software.
What is de-normalisation in dbms?
Hi, Denormalisation is the process to read the performance by adding redundancy of data or by grouping of data.
What grade would you make if for missing one out of 15?
You would get 93.3%. The grade might well depend on normalisation.
When was data normalisation started using?
It first began being used in 1970, but it was improved and enhanced up to 1974 and was in the form that we now use it.
